Development and application of an empirical multifrequency method for backscatter classification

TLDR

The study aimed to determine whether walleye pollock could be reliably distinguished from other species using a normal‑deviate (Z‑score) based multifrequency backscatter method. The authors developed and tested a Z‑score multifrequency backscatter technique, evaluating its feasibility for identifying acoustic scatterers and its performance against traditional trawl‑based species identification across five large‑scale Bering Sea surveys. The multifrequency method successfully differentiated key scatterer groups, produced pollock abundance estimates highly correlated with traditional methods, and offers improved species classification and inference when direct sampling is limited.

Abstract

We evaluated the feasibility of identifying major acoustic scatters in North Pacific ecosystems based on empirical measurements of relative frequency response. Acoustic measurements in areas where trawl catches were dominated by single taxa indicated that it might be possible to discern among key groups of scatterers such as fish with gas-filled swimbladders, euphausiids, myctophids, and jellyfish. To establish if walleye pollock ( Theragra chalcogramma ), a key species in the ecosystem, can be separated reliably from other groups under prevailing conditions, we developed a method based on the normal deviate (or Z score) to identify backscatter consistent with the pollock relative frequency response. We evaluated the performance of the method by comparing it with the traditional method of species identification (i.e., directed trawl catches and subjective interpretation of echograms) during five large-scale acoustic surveys of the eastern Bering Sea. Pollock abundance estimates employing the multifrequency method were highly correlated with those using the traditional method, which indicates that the multifrequency method performs well in this situation. In this environment, multifrequency methods will allow more inferences to be drawn when direct sampling of organisms is limited and will also complement existing abundance surveys by improving species classification and providing information about key nontarget species.